The Urban Data Store is a collection of databases on the social, economic and environmental performance of the city.
These databases can be organised by an Urban DataFrame. Like threads being organised by a loom. Without the loom they are just threads: disconnected on reels or tangled in a pile. The DataFrame organises and makes sense of the threads.
Components of the Urban DataFrame
The DataFrame has spatial and temporal components.
The Temporal DataFrame is perhaps the more straightforward. A linear sequence – 1 dimension ie time goes forwards and backwards, not sideways or upwards. Databases are time-stamped, allowing temporal analysis: what happened when?
The Spatial DataFrame of the City is its street network and building footprints. Being more complex – having 3 dimensions – this is organised configurationally using Space Syntax spatial network analysis. What happened where?
Benefits of the Urban DataFrame
In combination with the…
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